Embedded

For applications in machine vision, edge computing, traffic vision, deep learning, and artificial intelligence (AI) of things, the eBOX671-521-FL is a graphics processing unit (GPU) computing embedded system with four-channel PoE and a MXM 3.1 Type A slot.

The eBOX671-521-FL is powered by the 8th gen Intel Core i7, i5,  i3 (Coffee Lake-S) processor with either up to six-core, Intel Pentium processor, or Intel Celeron processor and comes with Intel Q370 or optional Intel C246 chipset.

The fanless embedded GPU-based system is equipped with dual DDR4 error code correction (ECC) /non-ECC SO-DIMM slots for up to 64Gbyte of system memory. The embedded vision system has an optional MXM type A slot for NVIDIA GTX1030 and GTX1050 graphics modules to enhance the performance of the visual display.

The Intel Coffee Lake-based embedded box PC is designed with four Gigabit 802.3at (Power-over-Ethernet or PoE) -compliant Ethernet ports with a power budget of 60W, six USB 3.1 ports and two Gigabit LANs to connect different devices or sensors.

“Axiomtek’s eBOX671-521-FL is dedicated to AI inference, GPU computing, and machine learning and image processing,” explains Janney Lee, a product manager of Product PM Division at Axiomtek. In addition to the expansion options of an internal MXM 3.1 type A connector, two full-size PCI Express Mini Card slots and two SIM slots, there are two swappable SATA HDD drive bays with a height of up to 9.5 mm and one mSATA for RAID 0 and 1 feature, for storage. Lee continues: “We have designed a flexible I/O window slot for incorporating application-oriented I/O functions to meet the requirements of various cases. This embedded vision computer can be mounted using wall or DIN-rail mounting for versatile use in various environments.”

I/O interfaces include two RS-232/422/485, one DVI-I port, one HDMI port, one VGA port, and two DisplayPort outputs through an optional MXM graphics kit. There is also a Phoenix-type VDC power input connector, AT/ATX quick switch, ATX power switch, reset switch, and four SMA-type antenna openings. The four-channel Gigabit PoE embedded vision system supports a 24V DC power input with power protection.

The eBOX671-521-FL supports Windows 10 IoT and Linux operating systems and supports Axiomtek’s AXView 3.0 software for smart device monitoring and remote management in the industrial IoT world.

http://www.axiomtek.com

Real-time video and graphics analytics are combined in the PIS-5500, rugged, fanless Nvidia Quadro embedded AIoT (AI and IoT) computer from Adlink. The PIS-5500 is designed for real-time video/graphics analytics applications in the rail industry.

The rail industry is using artificial intelligence (AI) to drive efficiency, improve productivity and reduce costs. Intelligence from AI-driven systems and applications can make railway operations safer, smarter and more reliable, says Adlink, to enhance the passenger travel experience and freight logistics services. AI-driven applications only function with proper data input that is collected by many IoT devices installed in stations, on trains, and along tracks. A successful implementation of such rail applications requires a seamless integration of AI and IoT technologies, advises Adlink.

Powered by an Intel Core i7 processor and integrated Nvidia Quadro general purpose graphics processing unit (GPGPU), the EN50155-certified PIS-5500 AIoT platform is ruggedised for both wayside and onboard deployment. It has a wide range DC input and isolated I/O design, but also caters for real-time video/graphic analysis applications for today’s increasingly complex railroad operations. The target applications include but are not limited to passenger information systems, railway intrusion detection, train station surveillance, onboard video security and railway hazard detection.

Adlink’s PIS-5500 is being tested and deployed commercially by leading rail system integrators worldwide. In one application, the intelligent platform is installed on special rail inspection trains to process captured images of key wayside equipment in real-time. An algorithm driven by parallel computing and deep learning allows the application to effectively identify potential equipment faults at a train speed of 120km/h, and raise the alarm to notify maintenance crews. In another application, the PIS-5500 is used in a train station control office to analyse the real-time video stream received from the platform. The application is able to not only detect suspicious behaviours and trigger alerts, but also conduct post-event analysis.

To meet varying application requirements, the PIS-5500 is also available in variants featuring an additional two USB 2.0 via M12 connectors and two 2.5-inch SATA 6Gbit per second drive bays, as well as a version supporting +12V DC power input only.

http://www.adlinktech.com